Networks of spiking neurons in modeling and problem solving

Neurocomputing

Volumn 61, Issue 1-4, 2004, Pages 99-119

  Cios, Krysztof J ^a,b,c,d   Swiercz, Waldemar ^b   Jackson, William ^e  

^a The University of Colorado Denver   (United States)

^b UNIVERSITY OF COLORADO   (United States)

^c UNIVERSITY OF COLORADO   (United States)

^d 4cData ^*  (United States)

^e UNIVERSITY OF COLORADO DENVER   (United States)

Author keywords

Brain modeling; Clustering; Diabetic retinopathy; Integrate and fire neuron model; Networks of spiking neurons

Indexed keywords

COMPUTER SIMULATION; LEARNING SYSTEMS; MATHEMATICAL MODELS; PLASTICITY; PROBLEM SOLVING;

CLUSTERING; SOMATOSENSORY SYSTEMS; SPIKING NEURONS;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN CORTEX; BRAIN STEM; CLUSTER ANALYSIS; COMPUTER MODEL; COMPUTER SIMULATION; CONTROLLED STUDY; CORRELATION ANALYSIS; DIABETIC RETINOPATHY; EXCITATORY POSTSYNAPTIC POTENTIAL; IMAGE ANALYSIS; IMAGE PROCESSING; INHIBITORY POSTSYNAPTIC POTENTIAL; LEARNING; MATHEMATICAL COMPUTING; NERVE CELL MEMBRANE STEADY POTENTIAL; NERVE CELL PLASTICITY; NERVE CELL STIMULATION; NERVE FIBER MEMBRANE CONDUCTANCE; PRIORITY JOURNAL; PROBLEM SOLVING; SENSORY NERVE; SIGNAL NOISE RATIO; SOMATOSENSORY SYSTEM; SPINAL CORD; SYNAPTIC TRANSMISSION; THALAMUS;

EID: 10244255024     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.03.007     Document Type: Article

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